General Motors (GM) Return on Sales [ROS] (2010 - 2026)
General Motors' Return on Sales [ROS] was 3.04% in Q2 2026, down 1.48 percentage points from 4.51% a year earlier and down 3.67 percentage points from the prior quarter.
General Motors (GM) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, General Motors' Return on Sales [ROS] was 0.98% through Jun 30, 2026, down 4.70 percentage points year-over-year; for FY2025, it came in at 1.57%, down 5.25 percentage points from FY2024.
- Return on Sales [ROS] shows a five-year change of -3.84 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was 6.82% in FY2024 (+1.41 pp), 5.41% in FY2023 (-1.17 pp), 6.58% in FY2022 (-0.76 pp) and 7.34% in FY2021 (+1.93 pp).
- Quarterly Return on Sales [ROS] has moved between -8.05% (Q4 2025) and 8.69% (Q1 2024) over five years.
- Compared with a year earlier, Return on Sales [ROS] has declined for six straight quarters, with an average year-over-year change of -2.73 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q1 2024 (a gain of 2.24 percentage points); the worst was Q4 2025 (a drop of 11.24 percentage points).
- Per Business Quant data, GM's Return on Sales [ROS] in the three quarters before Q2 2026 was 6.71% (Q1 2026), -8.05% (Q4 2025) and 2.21% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,223.67 Bn | 1,049.69 Bn | 4.75 Bn | 1.41% |
| 2 | Toyota Motor | 243.73 Bn | -163.01 Bn | 20.95 Bn | 7.86% |
| 3 | Honda Motor | 126.52 Bn | -7.78 Bn | 8.46 Bn | 8.76% |
| 4 | General Motors | 72.50 Bn | -34.01 Bn | 7.33 Bn | 3.04% |
| 5 | Ferrari | 68.83 Bn | 61.27 Bn | 1.18 Bn | 31.22% |
| 6 | Ford Motor | 48.36 Bn | -94.13 Bn | 6.08 Bn | 1.32% |
| 7 | Rivian Automotive | 18.97 Bn | -4.34 Bn | 179.00 Mn | -50.42% |
| 8 | Magna International | 18.29 Bn | 15.51 Bn | 1.61 Bn | 12.19% |
| 9 | Stellantis | 13.35 Bn | -153.18 Bn | 5.55 Bn | 1.61% |
| 10 | Li Auto | 11.09 Bn | -42.99 Bn | 417.98 Mn | -8.93% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.04% |
| Mar 31, 2026 | 6.71% |
| Dec 31, 2025 | -8.05% |
| Sep 30, 2025 | 2.21% |
| Jun 30, 2025 | 4.51% |
| Mar 31, 2025 | 7.61% |
| Dec 31, 2024 | 3.19% |
| Sep 30, 2024 | 7.49% |
| Jun 30, 2024 | 8.07% |
| Mar 31, 2024 | 8.69% |
| Dec 31, 2023 | 2.14% |
| Sep 30, 2023 | 6.83% |
| Jun 30, 2023 | 6.23% |
| Mar 31, 2023 | 6.45% |
| Dec 31, 2022 | 6.06% |
| Sep 30, 2022 | 8.10% |
| Jun 30, 2022 | 5.92% |
| Mar 31, 2022 | 6.10% |
| Dec 31, 2021 | 4.53% |
| Sep 30, 2021 | 6.14% |
General Motors Return on Sales [ROS] API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=return-on-sales-%5Bros%5D&ticker=GM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "GM", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=return-on-sales-%5Bros%5D&ticker=GM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();